| library_name: tf-keras | |
| tags: | |
| - timeseries | |
| # Timeseries classification from scratch | |
| Based on the _Timeseries classification from scratch_ example on [keras.io](https://keras.io/examples/timeseries/timeseries_classification_from_scratch/) created by [hfawaz](https://github.com/hfawaz/). | |
| ## Model description | |
| The model is a Fully Convolutional Neural Network originally proposed in [this paper](https://arxiv.org/abs/1611.06455). | |
| The implementation is based on the TF 2 version provided [here](https://github.com/hfawaz/dl-4-tsc/). | |
| The hyperparameters (kernel_size, filters, the usage of BatchNorm) were found via random search using [KerasTuner](https://github.com/keras-team/keras-tuner). | |
| ## Intended uses & limitations | |
| Given a time series of 500 samples, the goal is to automatically detect the presence of a specific issue with the engine. | |
| The data used to train the model was already _z-normalized_: each timeseries sample has a mean equal to zero and a standard deviation equal to one. | |
| ## Training and evaluation data | |
| The dataset used here is called [FordA](http://www.j-wichard.de/publications/FordPaper.pdf). The data comes from the [UCR archive](https://www.cs.ucr.edu/%7Eeamonn/time_series_data_2018/). The dataset contains: | |
| - 3601 training instances | |
| - 1320 testing instances | |
| Each timeseries corresponds to a measurement of engine noise captured by a motor sensor. | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| | name | learning_rate | decay | beta_1 | beta_2 | epsilon | amsgrad | training_precision | | |
| |----|-------------|-----|------|------|-------|-------|------------------| | |
| |Adam|9.999999747378752e-05|0.0|0.8999999761581421|0.9990000128746033|1e-07|False|float32| | |
| ## Model Plot | |
| <details> | |
| <summary>View Model Plot</summary> | |
|  | |
| </details> | |
| <center> | |
| Model reproduced by <a href="https://github.com/EdAbati" target="_blank">Edoardo Abati</a> | |
| </center> | |